Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method

This paper studies the aperiodic sampled-data control for the sliding-mode control (SMC) scheme of fuzzy systems with communication-induced delays via the event-triggered method. In practice, it is impossible to update control in continuous manner; thus, an event-based control technique has become p...

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Published inIEEE transactions on fuzzy systems Vol. 24; no. 5; pp. 1048 - 1057
Main Authors Shiping Wen, Tingwen Huang, Xinghuo Yu, Chen, Michael Z. Q., Zhigang Zeng
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Communication-induced delay
Control systems
Delays
Economic models
Electronic mail
fuzzy system
Fuzzy systems
Manifolds
Mathematical model
Nonlinear systems
sampled-data control
sliding-mode control (SMC)
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Abstract This paper studies the aperiodic sampled-data control for the sliding-mode control (SMC) scheme of fuzzy systems with communication-induced delays via the event-triggered method. In practice, it is impossible to update control in continuous manner; thus, an event-based control technique has become popular with the advantage that the control task is executed only if it is triggered by an event. In this paper, the event-based sliding-mode control (ESMC) is designed for each linear subsystem of the global fuzzy model first. Then, the conditions for "fuzzily" amalgamated ESMC are discussed to stabilize the global fuzzy model. This ensures that the SMC is executed only when necessary. Furthermore, the results are extended to the fuzzy systems with communication-induced delays. Finally, case studies are carried out to demonstrate the effectiveness of the derived results.
AbstractList This paper studies the aperiodic sampled-data control for the sliding-mode control (SMC) scheme of fuzzy systems with communication-induced delays via the event-triggered method. In practice, it is impossible to update control in continuous manner; thus, an event-based control technique has become popular with the advantage that the control task is executed only if it is triggered by an event. In this paper, the event-based sliding-mode control (ESMC) is designed for each linear subsystem of the global fuzzy model first. Then, the conditions for "fuzzily" amalgamated ESMC are discussed to stabilize the global fuzzy model. This ensures that the SMC is executed only when necessary. Furthermore, the results are extended to the fuzzy systems with communication-induced delays. Finally, case studies are carried out to demonstrate the effectiveness of the derived results.
Author Shiping Wen
Zhigang Zeng
Chen, Michael Z. Q.
Xinghuo Yu
Tingwen Huang
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  surname: Tingwen Huang
  fullname: Tingwen Huang
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  surname: Xinghuo Yu
  fullname: Xinghuo Yu
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  organization: Platform Technol. Res. Inst., RMIT Univ., Melbourne, VIC, Australia
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  givenname: Michael Z. Q.
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  fullname: Chen, Michael Z. Q.
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  organization: Dept. of Mech. Eng., Univ. of Hong Kong, Hong Kong, China
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  surname: Zhigang Zeng
  fullname: Zhigang Zeng
  email: zgzeng527@126.com
  organization: Key Lab. of Image Process. & Intell. Control, Huazhong Univ. of Sci. & Technol., Wuhan, China
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Snippet This paper studies the aperiodic sampled-data control for the sliding-mode control (SMC) scheme of fuzzy systems with communication-induced delays via the...
SourceID proquest
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ieee
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Publisher
StartPage 1048
SubjectTerms Communication-induced delay
Control systems
Delays
Economic models
Electronic mail
fuzzy system
Fuzzy systems
Manifolds
Mathematical model
Nonlinear systems
sampled-data control
sliding-mode control (SMC)
Title Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method
URI https://ieeexplore.ieee.org/document/7331286
https://www.proquest.com/docview/1831017921
Volume 24
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